Published Articles

5. “Editor’s Choice: Measuring Candidate Quality using Local Newspaper Endorsements.” DeLuca, Kevin. 2024. APSA Preprints. [Conditionally Accepted, Journal of Politics]

4. “The Power of Characters: Evaluating Machine Learning Modified Bayesian Improved Surname Geocoding Inference of Race in Redistricting.” 2024. Curiel, John A. and Kevin DeLuca. State Politics & Policy Quarterly, 24(3): 300-321. [Publisher Link]

3. “A Partisan Solution to Partisan Gerrymandering: The Define-Combine Procedure.” 2023. Palmer, Maxwell, Benjamin Schneer, and Kevin DeLuca. Political Analysis, First View, 1-16. [Publisher Link]

2. “Validating the Applicability of Bayesian Inference with Surname and Geocoding to Congressional Redistricting.” 2023. DeLuca, Kevin, and John A. Curiel. Political Analysis, 30(3): 465-471. [Publisher Link]

1. “American Election Results at the Precinct Level.” 2022. Baltz, Samuel, Alexander Agadjanian, Declan Chin, John Curiel, Kevin DeLuca, James Dunham, Jennifer Miranda, Connor Phillips, Annabel Uhlman, Cameron Wimpy, Marcos Zárate, and Charles Stewart. Scientific Data 9, 651. [Publisher Link]

Select Working Papers

3. “Drag On The Ticket? Estimating Top-Of-The-Ticket Effects on Down-Ballot Races”, with Benjamin Schneer and Daniel Moskowitz. [Under Review]

2. “Candidate Quality, Incumbency, and Election Outcomes in the United States.” DeLuca, Kevin. 2023. APSA Preprints.

1. “The Influence of Biased Local Newspaper Endorsements.” DeLuca, Kevin. 2023. APSA Preprints. [Presented at the 94th Annual Southern Political Science Association Meeting, January 2023. Honorable Mention for the Pi Sigma Alpha – Malcolm Jewell Award]

Work in Progress

“The Decline of Evening Newspapers: Partisan Slant's Impact on Election Results”, with Tyler Simko, James M. Snyder, Jr., and B.K. Song

“Local News in the Crosshairs: Audience Perceptions of Algorithmic News Sites”, with David A. Beavers.